In the era of technological development, AI models like Deepseek R1 are becoming an indispensable tool in many fields. However, the use of AI models through cloud platforms often comes with concerns about data security and dependence on the Internet connection. To solve these problems, Run DeepSeeK R1 Offline On personal equipment is an optimal solution, bringing flexibility and safer for users.

Why should you run Deepseek R1 offline on your phone?

DeepSeeK R1, a breakthrough AI model from the Chinese research team, is creating a strong wave in the technology community. With superior ability, Deepseek R1 even risen to the number one position on the US App Store, surpassing Chatgpt.

However, the use of this model through the website officially raises concerns about security and privacy, especially when data is stored in China. To solve this problem, you can run DeepSeeK R1 Offline on Android and iPhone phones.

See also: How to use lmstudio to install AI offline on PC Run Deepseek, Sonet …

Running Deepseek R1 offline offers outstanding advantages:

• Data security: Your information is stored directly on the device, no need to be sent to the outside server.
• No Internet: You can use AI model anytime, anywhere.
• Optimization of performance: Make the most of the hardware of the phone's hardware.

System requirements

To run DeepSeeK R1 Offline on your phone, your device needs to meet the following minimum requirements:

• RAM: Minimum 6GB.
• Chipset: Snapdragon 8 Elite, Snapdragon 8-Series or 7-Series (for Android).
• Drum memory: About 2GB to download and store the model.

How to run deepSeeK R1 offline on Android and iPhone

Step 1: Download and install Pocketpal AI application

Pocketpal AI As a free application, support both Android and iOS, help you easily run the offline AI models. This is the optimal option compared to paid apps like Apollo AI or private LLM.

Step 2: Download the Deepseek R1 model

• After installing pocketpal AI, follow these steps:
• Open the application, then click on the “Go to Models“.
• Next, touch the icon “+At the right corner of the screen.
• Select “Add from hugings face“.

Step 3: Find and download the Deepseek R1 model

• In the search window, enter the keyword “deepSeek” and find the model “DeepSeeK-R1-Distill-Qwen-1.5B”By Bartowski author.

Note: Select the version that suits your phone memory. For example, the “Q5_K_M” version only accounts for about 1.3GB of RAM.

• After downloading, return to the main screen and select “Load“To download the model into the application.

Step 4: Start chatting with deepSeeK R1

When the model is ready, you can start chatting offline with Deepseek R1 without connecting the Internet.

Evaluate

During the test, both versions of 1.5B and 7B of Deepseek R1 showed a lot of “hallucination” phenomenon, especially when handling historical events. However, this model is still useful in tasks such as:

• Creative writing: Create unique and attractive content.
• Programming: Support to write code and solve logic problems.

If you own a powerful device, test it with the version 32B of Deepseek R1. This model gives a significant better programming and argument.

See also: How to use Deepseek V3: AI of China

Conclusion

Run DeepSeeK R1 Offline On Android and iPhone is the ideal solution to enjoy the power of AI without worrying about security or internet connection. With Pocketpal AI application, you can easily download and use this model for free. Wish you apply successfully!

Some of you want to use AI to analyze data, but you are afraid of being revealed to the internet. There are some solutions that help you download and run offline and train documents without the Internet.

In the context that AI is increasingly popular, many people want to apply this technology to analyze data but worry about the risk of leaking information when connecting to the Internet. Especially, with data storage platforms abroad such as Deepseek R1, chatGpt the security of personal documents is always the top concern. This article will show you how to run AI offline on your computer, without the Internet, to process data safely.

Developed by a Chinese research team, DeepSeeK R1 not only surpassed the ChatGPT to lead the App Store in the US market but also created significant effects in the technology industry. However, the data stored in China has made many users worried about privacy. If you want to experience it without an internet connection, Anonyviet will guide you How to run DeepSeeK R1 Offline On PC with LM Studio and Ollama.

Why should install AI offline on PC

Deepseek R1 or Sonet 3.5 and other AI are a versatile AI model, capable of processing natural language, programming, and even complex problems. However, using the online version through the official website can cause your data to be stored on remote servers. This has the potential risk of security and privacy.

The installation and running AI offline like Deepseek R1 on personal computers help you:

• Data security: Your data is not sent to the server remotely.
• No Internet: You can use even if there is no network connection.
• Flexible customization: You can choose the model versions that match your computer configuration.

How to install Ai Offiline on PC running Deepseek R1 with LM Studio

In this article, I will demo with DeepSeeK R1, everyone else you do the same because LM Studio has quite a lot of letters who open the source that allows you to install for free to use.

LM Studio is a powerful tool that allows you to download and run local AI models on your computer. Here are the detailed steps:

Step 1: Access Home of LM Studio And download the version 0.3.8 or more (free) for PC, Mac or Linux. Then install the software and boot it.

Step 2: Open LM Studio and move to the search window in the left bar.

• In the Search model section, enter the keyword “Deepseek R1 Distill (QWEN 7B)“To find the model on Hugging Face.
• Press Download To download the model to the device. Note: You need at least 5GB of storage and 8GB of RAM to use this model.

Step 3: When the download process is completed, switch to the tab Chat And upload the model.

Step 4: Select the model and press Load Model. If you encounter an error, reduce the GPU offload to 0 and try again.

Now, you can talk to DeepSeeK R1 right on your computer without connecting to the Internet.

How to run Deepseek R1 with Ollama

Ollama is another tool that allows you to run local AI models easily. Below is a detailed guide:

Step 1: Access Ollama's homepage And download the appropriate version for your operating system (Windows, macOS or Linux). Install and start Ollama.

Step 2: Open Terminal (or Command Prompt on Windows) and enter the following command to start the 1.5B version of Deepseek R1:

ollama run deepseek-r1:1.5b

This version is only used 1.1GB Memory, suitable for low -configuration machines.

If you have a stronger hardware, you can run the 7B version with the following command:

ollama run deepseek-r1:7b

This version uses the range 4.7GB memory.

Note:

• Ollama offers many versions of DeepSeeK R1, from the light version 1.5b parameter To the full version 671b parameter. In particular, the 671B model is the original version of Deepseek-R1, and the smaller models are the optimized versions based on QWEN and LLAMA architecture.
• If your hardware is not strong enough to run the 671B model, you can choose the smaller versions, suitable for your needs (1.5B, 7B, 8B, 14B, 32B, 70B, 671B)

Step 3: After running the command, you can start chatting with Deepseek R1 directly on the Terminal. To stop the conversation and escape, press the key combination Ctrl + D.

Compare performance between versions

• Select LM Studio if you like a simple and easy -to -use graphic interface.
• Select Ollama if you want more control and do not hesitate to use the command line.
• During the testing process, versions 1.5b and 7b Deepseek R1 can produce some false information or historical errors. However, they are still very useful for tasks such as creative writing and mathematical theory.
• If you have a strong hardware, test it with the version 32B or 70b. These versions work better in programming and give more accurate answers.

See also: How to use free DeepSeeK V3: AI of China

Conclusion

With detailed instructions on How to run Deepseek R1 localyou absolutely can master advanced AI technology without worrying about security or depending on the internet. Test and discover the utilities that Deepseek R1 brings, and optimize your experience with versions that match your computer configuration!

The strong rise of artificial intelligence (AI) is reshaping the future of technology, and in that context, an impressive new name emerges: Deepseek V3. Developed by the DeepSeek lab in China, this AI model is making a big splash in the global technology community thanks to its remarkable superior performance. This article will delve into the key aspects of DeepSeek V3, from its incredible technical power to its wide application potential and interesting questions surrounding it.

The outstanding power of DeepSeek V3

DeepSeek V3 is more than just an ordinary upgrade; It represents a leap in performance compared to existing AI models.

According to DeepSeek's internal tests, DeepSeek V3 outperforms both downloadable “open” models and “closed” models accessible only via API. This means that DeepSeek V3 not only competes with “big guys” like OpenAI's GPT-4o, but also surpasses “open” competitors like Meta's Llama 3.1 405B in certain aspects.

One of the clearest demonstrations of DeepSeek V3's power is its ability to excel in competitions programming on Codeforces. Here, it defeated a series of other strong models, confirming its ability to handle complex tasks related to encryption. Additionally, on the Aider Polyglot test, designed to evaluate the ability to integrate new code into existing code, DeepSeek V3 also performed surprisingly well.

DeepSeek V3's capabilities are not limited to programming. This model can handle a wide range of related tasks document such as writing essays, composing emails and translating from brief descriptions. This flexibility opens up wide application potential in many different fields, from supporting software development to improving office productivity.

See more: Meta AI: Super simple access and usage instructions

Why is DeepSeek V3 so superior?

1. 14.8 trillion token data set

To achieve this impressive performance, DeepSeek V3 possesses a giant “brain” with incredible statistics. The model is trained on a dataset of up to 14.8 trillion tokens. To put it into perspective, 1 million tokens is equivalent to about 750,000 words. This massive scale of training data allows DeepSeek V3 to learn and capture linguistic nuances deeply.

2. Size 685 billion parameters

Not only about data, the size of DeepSeek V3 is also very respectable. This model comes 671 billion parametersor even 685 billion on the AI ​​Hugging Face development platform. Parameters are internal variables that the model uses to make predictions and decisions. With a number of parameters larger than approx 1.6 times that of Llama 3.1 405B (405 billion parameters), DeepSeek V3 possesses the ability to process information and make more complex decisions.

However, it should be noted that the number of parameters is not the only factor that determines the performance of the model. While larger models tend to perform better, they also require more powerful hardware to run. An unoptimized version of DeepSeek V3 would need a high-end GPU system to answer questions at a reasonable speed.

3. Training costs $5.5 million

DeepSeek claims that it only takes approx 5.5 million dollars To train DeepSeek V3 for about two months, use these Nvidia H800 GPU. This is a figure significantly smaller than the development costs of similar models like OpenAI's GPT-4.

This achievement becomes even more impressive when considering that Chinese companies were recently restricted by the US Department of Commerce from procuring high-end GPUs like the H800. The fact that DeepSeek can train such a powerful model at such a low cost amid technological constraints raises questions about the efficiency and creativity of Chinese AI researchers.

Computer scientist Andrej Karpathy, a founding member of the team at OpenAI, commented on social media that DeepSeek “makes it look easy” with the release of an advanced LLM trained on “a budget.” unimaginable”. This shows the international community's surprise and admiration for DeepSeek's achievements.

4. The “openness” of DeepSeek V3

Another important factor that makes DeepSeek V3 attractive is the “open” license that DeepSeek provides. This license allows developers to download and modify the model for most applications, including commercial applications. This openness encourages collaboration and innovation within the AI ​​community, allowing researchers and businesses to leverage the power of DeepSeek V3 to develop innovative solutions.

The provision of FP8 version and the ability to easily migrate to BF16 is also a big plus, helping to optimize the performance and deployability of DeepSeek V3 on many different hardware platforms. This makes the model more accessible to a wide range of users.

Limitations of DeepSeek V3

However, one sensitive aspect regarding DeepSeek V3 cannot be overlooked: content moderation issues. Like many other AI systems developed in China, DeepSeek V3 seems to avoid or refuse to answer questions related to political topic sensitive. For example, when asked about Tiananmen Square, the model did not provide an answer.

This reflects the fact that DeepSeek, as a Chinese company, must comply with the regulations of the country's internet regulator to ensure that the model's responses “represent the values core of socialism.” Although this is a notable limitation, it does not detract from the technical achievements DeepSeek has achieved.

How to use DeepSeek V3

According to some AI experts, DeepSeek is on par with ChatGTP and Claude. DeepSeek also supports Vietnamese quite well.

To use DeepSeek V3, you have several options:

• Official web interface: Access DeepSeek V3 through the official website to interact directly with the model.
• Hugging Face Platform: Developers can download the template and integrate it into their projects.
• GitHub: For those with more technical knowledge, check out the GitHub repository to access technical files and documentation.

See more: How to use ChatGPT on WhatsApp: Did you know?

Conclusion

The birth of DeepSeek V3 marks an important milestone in the development of AI, especially in the context of increasingly fierce competition between technological powers. With outstanding performance, affordable training costs, and openness, DeepSeek V3 has the potential to become a powerful tool for researchers, developers, and businesses worldwide.